scholarly journals Digital Twin Integrated Reinforced Learning in Supply Chain and Logistics

Logistics ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 84
Author(s):  
Ahmed Zainul Abideen ◽  
Veera Pandiyan Kaliani Sundram ◽  
Jaafar Pyeman ◽  
Abdul Kadir Othman ◽  
Shahryar Sorooshian
Keyword(s):  
Supply Chain ◽  
Current Trend ◽  
Research Work ◽  
Past Research ◽  
Physical Object ◽  
Future Research ◽  
Data Set ◽  
Digital Twin ◽  
Reinforced Learning ◽  
Work Done

Background: As the Internet of Things (IoT) has become more prevalent in recent years, digital twins have attracted a lot of attention. A digital twin is a virtual representation that replicates a physical object or process over a period of time. These tools directly assist in reducing the manufacturing and supply chain lead time to produce a lean, flexible, and smart production and supply chain setting. Recently, reinforced machine learning has been introduced in production and logistics systems to build prescriptive decision support platforms to create a combination of lean, smart, and agile production setup. Therefore, there is a need to cumulatively arrange and systematize the past research done in this area to get a better understanding of the current trend and future research directions from the perspective of Industry 4.0. Methods: Strict keyword selection, search strategy, and exclusion criteria were applied in the Scopus database (2010 to 2021) to systematize the literature. Results: The findings are snowballed as a systematic review and later the final data set has been conducted to understand the intensity and relevance of research work done in different subsections related to the context of the research agenda proposed. Conclusion: A framework for data-driven digital twin generation and reinforced learning has been proposed at the end of the paper along with a research paradigm.

scholarly journals A decade of detailed observations (2008–2018) in steep bedrock permafrost at Matterhorn Hörnligrat (Zermatt, CH)

2019 ◽  
Author(s):  
Samuel Weber ◽  
Jan Beutel ◽  
Reto Da Forno ◽  
Alain Geiger ◽  
Stephan Gruber ◽  
...  
Keyword(s):  
Past Research ◽  
Process Models ◽  
Sensor Technology ◽  
Future Research ◽  
Data Set ◽  
Technological Advances ◽  
Data Record ◽  
History Of ◽  
Diverse Data ◽  
And Control

Abstract. The PermaSense project is an ongoing interdisciplinary effort between geo-science and engineering disciplines started in 2006 with the goals to make observations possible that previously have not been possible. Specifically the aims are to obtain measurements data in unprecedented quantity and quality based on technological advances. This paper describes a unique ten+ year data record obtained from in-situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt Switzerland at 3500 m a.s.l. Through the utilization of state-of-the-art wireless sensor technology it was possible to obtain more data of higher quality, make this data available in near real-time and tightly monitor and control the running experiments. This data set (DOI: https://doi.org/10.1594/PANGAEA.897640, Weber et al., 2019a) constitutes the longest, densest and most diverse data record in the history of mountain permafrost research worldwide with 17 different sensor types used at 29 distinct sensor locations consisting of over 114.5 million data points captured over a period of ten+ years. By documenting and sharing this data in this form we contribute to making our past research reproducible and facilitate future research based on this data e.g. in the area of analysis methodology, comparative studies, assessment of change in the environment, natural hazard warning and the development of process models.

Investigating Implications of Metric Based Predictive Data Mining Approaches towards Software Fault Predictions

2018 ◽  
Vol 7 (3.12) ◽  
pp. 427
Author(s):  
Pooja Kapoor ◽  
Deepak Arora ◽  
Ashwani Kumar
Keyword(s):  
Research Work ◽  
Research Field ◽  
Fault Prediction ◽  
Machine Learning Techniques ◽  
Future Research ◽  
Critical Examination ◽  
Data Set ◽  
Software Fault Prediction ◽  
Software Fault ◽  
Predictive Data Mining

Context: Since 1990, various researches have been working in the area of software fault prediction but yet it is difficult to assess the impacts and progressive path of this research field. Objective: In this research work, author’s major objective is to investigate the context and dimensions of research studies performed by different researchers in the area of software fault prediction. This work also focuses on presenting a well defined systematic view of their findings and suggestions after a critical examination of all major approaches applied in this key research area. Method: This research work includes 112 total manuscripts published between 2009 and 2014. These studies are gathered from a pool of total 587 manuscripts. The selection criteria for these manuscripts are title, keywords and citation of that paper. Result: The results of this investigation shows that most of the research work related to software fault prediction have been performed on available data set from NASA repository. Most of the research work performed is basically confined to analysis or comparative study of various machine learning techniques based on their classification accuracy. Various research work published doesn’t exhibit clearer representation of any specific prediction model. Conclusion: Still after years of development, there is a huge gap between the industry requirement and the research being performed by different researchers in the field of Software fault prediction. A better collaboration between industry academia is still required. This research work represents a critical investigative approach towards finding the exact gaps to be filled and explored more authentic future research areas in this field. All result finding have been critically examined and compared with existing literature work for better understanding and deep insight over identifying the major strengths of chosen research field. 

A Paradigmatic and Methodological Review of Research in Outsourcing

2010 ◽  
pp. 19-28
Author(s):  
Vanita Yadav ◽  
Rajen Gupta
Keyword(s):  
Research Work ◽  
Past Research ◽  
Research Trends ◽  
Future Research ◽  
Business Process Outsourcing ◽  
Research Papers ◽  
Research Directions ◽  
Methodological Review ◽  
Research Activities ◽  
The Status

Due to the growing academic and practitioner interest in the field of outsourcing, there is a need to do a comprehensive assessment and synthesis of research activities to date. This chapter addresses this need and examines the academic literature on information systems outsourcing and business process outsourcing using a paradigmatic and methodological lens. The objective of this chapter is fourfold. Firstly, it examines the status of outsourcing research from 1995 to 2005 in eight leading academic journals, to compare the current research trends with past research directions in terms of methodologies applied. Secondly, it analyzes the research paradigms adopted in these research papers using the Operations Research Paradigm framework. Thirdly, it compares and contrasts the outsourcing research work published in three leading European journals with the work published in three leading American journals. Finally, it uncovers the implications of this study and the directions for future research.

A Paradigmatic and Methodological Review of Research in Outsourcing

2008 ◽  
pp. 71-88
Author(s):  
Vanita Yadav ◽  
Rajen K. Gupta
Keyword(s):  
Research Work ◽  
Past Research ◽  
Research Trends ◽  
Future Research ◽  
Business Process Outsourcing ◽  
Research Papers ◽  
Research Directions ◽  
Methodological Review ◽  
Research Activities ◽  
The Status

Due to the growing academic and practitioner interest in the field of outsourcing, there is a need to do a comprehensive assessment and synthesis of research activities to date. This chapter addresses this need and examines the academic literature on information systems outsourcing and business process outsourcing using a paradigmatic and methodological lens. The objective of this chapter is fourfold. Firstly, it examines the status of outsourcing research from 1995 to 2005 in eight leading academic journals, to compare the current research trends with past research directions in terms of methodologies applied. Secondly, it analyzes the research paradigms adopted in these research papers using the Operations Research Paradigm framework. Thirdly, it compares and contrasts the outsourcing research work published in three leading European journals with the work published in three leading American journals. Finally, it uncovers the implications of this study and the directions for future research.

Financial market contagion: selective review of reviews

2017 ◽  
Vol 9 (4) ◽  
pp. 391-408 ◽  
Author(s):  
Neha Seth ◽  
Monica Sighania
Keyword(s):  
Financial Market ◽  
Research Work ◽  
Past Research ◽  
Easy Access ◽  
Future Research ◽  
Research Papers ◽  
Content Type ◽  
The Past ◽  
The Status ◽  
Market Contagion

Purpose The purpose of this paper is to review and organize the status of research already conducted on financial market contagion so as to provide easy access to future researchers. Additional objective of the study is to classify the available literature and provide a complete bibliography on the subject and analyze the findings of the studies considered for review. Design/methodology/approach A number of resources were looked at to review the past literature and out of hundreds of papers, 104 research papers form the sample for the present study. These 104 research papers are further classified on the basis of various variables so as to know the status of research done on the topic. Findings This paper classifies the past research done on financial market contagion and found that the research work in this field has increased significantly during recent times, particularly between 2011 and 2015. Apart from the above finding, many other findings were revealed by the studies used for this paper. Practical implications This paper presents the concise view of available literature. It helps the future researchers with the same research interest. This is the major implication of such literature review paper. Originality/value This paper provides collection, classification and comprehensive bibliography on financial market contagion. This paper is surely going to be of great value for academicians, practitioners and future researchers who study the existing research work as well as for conducting future research in the same subject.

An analysis of supply chain management research by topic

2018 ◽  
Vol 12 (3) ◽  
pp. 100-116 ◽  
Author(s):  
David Swanson ◽  
Lakshmi Goel ◽  
Kristoffer Francisco ◽  
James Stock
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Future Research ◽  
Research Topics ◽  
Research Papers ◽  
Topic Area ◽  
Data Set ◽  
Chain Management ◽  
Content Type ◽  
Adequate Research

Purpose This paper aims to review logistics and supply chain management topics where theories have been applied to better understand the supply chain management (SCM) discipline identity. The purpose is threefold: to identify research topics in logistics and supply chain management where one or more theories have been examined; provide commentary on the theories that have been applied to the various logistics and SCM research topics; and to provide reference material and direction for future research. Design/methodology/approach This structured literature review (SLR) examines research papers in logistics and SCM from 1991 to 2015 published in eight leading academic journals. Papers in the data set are grouped by topic and further analyzed in terms of research method, purpose, year and journal. Findings This research categorizes papers by the topics that were studied to understand important insights about how these topics have been examined by researchers. Within each topic area, theories that researchers have used to investigate the topics are identified. This method exposes insights such as: how topics have evolved over time, which topics have lost prominence, which topics may be particularly promising for future research and how topics are treated in the literature. Originality/value Despite multiple calls for clarification regarding how theory has been used in logistics and SCM, the logistics and SCM disciplines continue to grow without adequate research on how theory has been used to examine SCM topics. This SLR therefore provides a broad compilation of logistics and SCM research that uses named theories and that is organized by SCM topic to better understand the SCM discipline.

Progress of Researches on the Surface Topography Detection Techniques for Grinding Wheel

2013 ◽  
Vol 797 ◽  
pp. 505-510 ◽  
Author(s):  
Wei Liu ◽  
Zhao Hui Deng ◽  
Lin Lin Wan ◽  
Qiao Ping Wu ◽  
Hao Tang
Keyword(s):  
Surface Topography ◽  
Research Work ◽  
Research Direction ◽  
Detection Methods ◽  
Future Research ◽  
Grinding Wheel ◽  
Detection Techniques ◽  
Important Input ◽  
Work Done ◽  
Microscopic Surface

As one of the important input parameters in the grinding process, the surface topography characteristic of grinding wheel has a decisive impact on the grinding performance. To evaluate and analyze the microscopic surface topography, the premise must be able to detect the microscopic surface topography accurately. Based on the measurement of detection device and its spatial position, the surface topography detection methods have been classified, the principle has been specifically analyzed for some typical detection methods, and the research work done by domestic and foreign scholars in the area. Finally, the current problems and future research direction in the field have been analyzed.

Congressional social media communications: evaluating Senate Twitter usage

2016 ◽  
Vol 40 (5) ◽  
pp. 643-659 ◽  
Author(s):  
Jacob R. Straus ◽  
Raymond T. Williams ◽  
Colleen J. Shogan ◽  
Matthew E. Glassman
Keyword(s):  
Social Media ◽  
House Of Representatives ◽  
Past Research ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
Media Communications ◽  
Insight Into ◽  
Communications Strategies

Purpose The purpose of this paper is to understand why some Senators choose to use Twitter more frequently than others. Building on past research, which explored causal factors leading to early congressional adoption, theories about why some Senators use Twitter more frequently in their daily communications strategies are developed. Design/methodology/approach A “power user” score was developed by evaluating each Senator’s clout, interactivity, and originality on Twitter. These scores are then used as the dependent variable in a regression model to evaluate which factors influence Senators becoming Twitter “power users.” Findings The study found that: constituent income is positively correlated with heavy use, but constituent education level is not; the more ideological a Senator is the more he or she will be a Twitter power user; the number of days on Twitter is a significant indicator of advanced Twitter usage; and having staff dedicated to social media is positively correlated with being a Twitter power user. Research limitations/implications All Senators in the second session of the 113th Congress (2014) were evaluated. As such, future research hope to expand the data set to additional Senators or the House of Representatives. Practical implications A better understanding of why some Senators use Twitter more than others allows insight into constituent communications strategies and the potential implications of real-time communication on representation, and the role of accountability between a Senator and his or her constituents. Originality/value The study examines constituent communication by Senators in a new, more interactive medium than previously considered. Additionally, the study places findings about Senator’s constituent communication in the broader context of representation.

Green supply chain management

2014 ◽  
Vol 11 (1) ◽  
pp. 20-46 ◽  
Author(s):  
Sunil Luthra ◽  
Dixit Garg ◽  
Abid Haleem
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Research Work ◽  
Research Direction ◽  
Research Field ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Future Research ◽  
Chain Management ◽  
Content Type

Purpose – The purpose of this paper is to introduce and provide an overview of the various issues related to Green Supply Chain Management (GSCM) and suggest further scope and direction of research in this emerging field. Design/methodology/approach – The work relies on experiences, case studies and other literature related to GSCM. Literature has been segregated to understand various GSCM issues. A detailed review is used to sort out the literature and develop the research direction of the study. The review is focussed on development of GSCM including all those researchers which is relevant to environmental and social sustainability toward operation management and the supply chain. A literature review seems to be a valid approach, as a necessary step in structuring a research field. Findings – The objectives of this paper are to identify major research work conducted on GSCM and to classify them to identify gaps in literature and opportunities for future research. The paper has provided an integrative framework for study, design, implementation and GSCM performance. The findings also identify a number of issues that need to be addressed. Research limitations/implications – Implication of the work is that the knowledge of the research gap can be used to focus efforts on key areas so as to ensure speedy and comprehensive implementation of GSCM practices. Practical implications – The paper may prove to be a very useful source of information to practitioners and regulators in their green practices implementation programs. Originality/value – This paper provides some of the very first insights into development of GSCM theories. The methodological review will provide better understanding of the current state of research in the discipline.

scholarly journals Overview of clustering analysis algorithms in unknown protocol recognition

2020 ◽  
Vol 309 ◽  
pp. 03008 ◽  
Author(s):  
Zhiguo Liu ◽  
Changqing Ren ◽  
Wenzhu Cai
Keyword(s):  
Clustering Analysis ◽  
Clustering Algorithm ◽  
Clustering Algorithms ◽  
Research Work ◽  
Development Trend ◽  
Future Research ◽  
Stream Data ◽  
Data Set ◽  
Whole Process ◽  
Bit Stream

In the process of identifying unknown protocol of bit stream, the clustering of data sets of bit stream in the protocol is the basis of further identifying unknown protocol. Therefore, on the one hand, this paper analyses the classical clustering algorithms used in unknown protocol recognition from three perspectives: the whole process of clustering analysis, similarity measurement and clustering result evaluation. On the other hand, the development trend of clustering algorithm in unknown protocol recognition is summarized, and other problems in unknown protocol recognition can be solved by clustering algorithm according to the characteristics of bit stream data set, which can provide reference for future research work. Finally, the challenges faced by the Research Institute and the prospects for future work are given.

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